Scale Ai - New York, NY
posted 4 months ago
The Machine Learning Engineer at Scale is tasked with integrating advanced techniques from computer vision, deep learning, deep reinforcement learning, and natural language processing into a production environment to enhance products and improve customer experiences. This role is pivotal in leveraging our unique access to vast datasets to deliver significant improvements to our customers. As part of a team focused on building a large hybrid human-machine system, the engineer will contribute to machine learning pipelines specifically designed for Federal Government clients. Currently, the team processes millions of tasks monthly, with plans to scale this to billions, emphasizing the importance of efficiency and innovation in our operations. In this role, you will be responsible for taking state-of-the-art models developed both internally and from the broader community, deploying them in production to address customer challenges. You will also analyze existing models in production, pinpoint areas for enhancement, and implement improvements through retraining and hyperparameter optimization, ensuring that core model characteristics remain intact. Collaboration with product and research teams will be essential to identify opportunities for enhancing our current product offerings and enabling future developments. Working with massive datasets, you will develop both generic models and fine-tune them for specific products, contributing to the creation of a scalable machine learning platform that automates our ML services. As a representative of machine learning applications within the engineering and product organization, you will be expected to multitask effectively and quickly adapt to new technologies. This position requires an active security clearance or the ability to obtain one, highlighting the sensitive nature of the work involved.